---------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/006489466/Dropbox/Depolicing/SubmissionFiles/FergEff/PolicingOX/RnR Round 2/New Analysis Pt
>  2/FinalComm.log
  log type:  text
 opened on:   3 May 2022, 19:22:01

. xtset PanelID MonthYear, monthly
       panel variable:  PanelID (unbalanced)
        time variable:  MonthYear, 2011m1 to 2016m12, but with gaps
                delta:  1 month

. xtnbreg Vehicle FergEff d.UnempL d.OffRateL d.DepScore d.PctNonWhtL  ///
> i.MonthYear if NoCov < 1, fe irr exposure(population) ///
> vce(bootstrap ,seed(909) reps(5000) nodots)
note: 683.MonthYear omitted because of collinearity
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered

Conditional FE negative binomial regression     Number of obs     =      2,628
Group variable: PanelID                         Number of groups  =         44

                                                Obs per group:
                                                              min =         34
                                                              avg =       59.7
                                                              max =         71

                                                Wald chi2(74)     =   21179.93
Log likelihood  = -21157.609                    Prob > chi2       =     0.0000

                                (Replications based on 44 clusters in PanelID)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
     Vehicle |        IRR   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     FergEff |   .6406032   .0767097    -3.72   0.000     .5065953    .8100599
             |
      UnempL |
         D1. |   .8078829   .1366151    -1.26   0.207     .5799733    1.125353
             |
    OffRateL |
         D1. |   .8658939   .4128986    -0.30   0.763     .3400729    2.204739
             |
    DepScore |
         D1. |   .8658271   .0918994    -1.36   0.175     .7032085    1.066052
             |
  PctNonWhtL |
         D1. |   3.960632    8.23959     0.66   0.508     .0671349    233.6581
             |
   MonthYear |
        614  |    1.13772   .0391834     3.75   0.000     1.063457     1.21717
        615  |   1.008187    .030908     0.27   0.790     .9493924    1.070622
        616  |   1.052747   .0430497     1.26   0.209     .9716639    1.140596
        617  |    1.03748   .0383508     1.00   0.320     .9649726    1.115437
        618  |   1.010122   .0394823     0.26   0.797     .9356278    1.090547
        619  |   1.007454   .0526416     0.14   0.887      .909386    1.116098
        620  |   .9403123   .0465739    -1.24   0.214     .8533199    1.036173
        621  |   .8796487   .0386609    -2.92   0.004     .8070467     .958782
        622  |   .8685278     .03733    -3.28   0.001     .7983592    .9448635
        623  |   .8450768    .048721    -2.92   0.004     .7547829    .9461724
        624  |   .9888625   .0608538    -0.18   0.856     .8765035    1.115625
        625  |    .959473   .0546034    -0.73   0.467      .858205    1.072691
        626  |   .9646506   .0655806    -0.53   0.597     .8443105    1.102143
        627  |   .8664902   .0530434    -2.34   0.019     .7685217    .9769474
        628  |   .9365163   .0589921    -1.04   0.298     .8277465    1.059579
        629  |   .8878245   .0530841    -1.99   0.047     .7896466    .9982091
        630  |   .8806283   .0497004    -2.25   0.024     .7884116    .9836311
        631  |   .9053779   .0559595    -1.61   0.108     .8020822    1.021976
        632  |   .8120518   .0493103    -3.43   0.001      .720935    .9146846
        633  |   .8483217     .04977    -2.80   0.005     .7561738    .9516988
        634  |    .832359   .0540138    -2.83   0.005     .7329496    .9452512
        635  |   .7612889    .053837    -3.86   0.000     .6627565    .8744701
        636  |   .9251685   .0631328    -1.14   0.254     .8093483    1.057563
        637  |   .8247738   .0574029    -2.77   0.006     .7196024    .9453162
        638  |   .9583707   .0654402    -0.62   0.533     .8383225     1.09561
        639  |   .8406354    .057192    -2.55   0.011     .7356934    .9605468
        640  |   .8914091   .0598718    -1.71   0.087     .7814584     1.01683
        641  |   .8001216   .0519694    -3.43   0.001     .7044803    .9087473
        642  |   .8080689   .0525851    -3.27   0.001     .7113059    .9179951
        643  |   .8679694   .0594794    -2.07   0.039     .7588817    .9927384
        644  |   .8069883   .0601019    -2.88   0.004     .6973848    .9338175
        645  |   .8642727   .0694262    -1.82   0.069     .7383709    1.011642
        646  |   .8376443   .0650689    -2.28   0.023     .7193456    .9753976
        647  |   .7730027   .0621207    -3.20   0.001     .6603528    .9048697
        648  |   .9110074   .0730478    -1.16   0.245     .7785195    1.066042
        649  |   .8690821   .0610523    -2.00   0.046     .7572941    .9973716
        650  |   .9142487   .0612218    -1.34   0.181     .8017971    1.042472
        651  |   .8744259    .063708    -1.84   0.066      .758066    1.008647
        652  |   .9042175   .0641233    -1.42   0.156     .7868814     1.03905
        653  |    .812122   .0539947    -3.13   0.002     .7128996    .9251544
        654  |   .8596311   .0543329    -2.39   0.017     .7594724    .9729985
        655  |   1.314632   .1615448     2.23   0.026     1.033253    1.672637
        656  |   1.238113   .1493818     1.77   0.077     .9773735    1.568412
        657  |   1.244035   .1465331     1.85   0.064     .9875765    1.567092
        658  |   1.137036   .1228134     1.19   0.234     .9200983    1.405122
        659  |   1.034681   .1123405     0.31   0.754     .8363487    1.280046
        660  |   1.219535   .1325165     1.83   0.068     .9856017    1.508993
        661  |   1.154538   .1318223     1.26   0.208     .9230389    1.444097
        662  |   1.243058   .1337621     2.02   0.043      1.00669    1.534924
        663  |   1.201895   .1338217     1.65   0.099     .9662554       1.495
        664  |   1.202719   .1228023     1.81   0.071     .9845853    1.469181
        665  |   1.152742   .1145414     1.43   0.153     .9487532    1.400591
        666  |    1.18327   .1248046     1.60   0.111     .9622855    1.455002
        667  |   1.192334   .1329363     1.58   0.115     .9582866    1.483544
        668  |   1.136739    .121213     1.20   0.229     .9223489    1.400962
        669  |   1.170853   .1147541     1.61   0.108     .9662224    1.418822
        670  |   1.107575   .1081893     1.05   0.296      .914591    1.341281
        671  |   1.054244   .1129776     0.49   0.622      .854521    1.300648
        672  |   1.203062   .1011456     2.20   0.028     1.020292    1.418572
        673  |   1.227612   .0819646     3.07   0.002     1.077031    1.399245
        674  |   1.262302   .0787542     3.73   0.000     1.117011    1.426491
        675  |   1.120256   .0594406     2.14   0.032     1.009608    1.243031
        676  |   1.201022   .0694945     3.17   0.002     1.072255    1.345253
        677  |   1.179645   .0748014     2.61   0.009     1.041781    1.335753
        678  |     1.0692    .056581     1.26   0.206     .9638602    1.186051
        679  |   1.204721   .0735222     3.05   0.002     1.068904    1.357794
        680  |   1.144305   .0659745     2.34   0.019     1.022036    1.281202
        681  |   1.092311   .0487927     1.98   0.048     1.000746    1.192254
        682  |   1.017448   .0393071     0.45   0.654     .9432522    1.097481
        683  |          1  (omitted)
             |
       _cons |   .0000407   8.17e-06   -50.41   0.000     .0000275    .0000603
ln(popula~n) |          1  (exposure)
------------------------------------------------------------------------------
Note: _cons estimates baseline incidence rate (conditional on zero random effects).
Note: One or more parameters could not be estimated in 34 bootstrap replicates;
      standard-error estimates include only complete replications.

. 
. xtset PanelID MonthYear, monthly
       panel variable:  PanelID (unbalanced)
        time variable:  MonthYear, 2011m1 to 2016m12, but with gaps
                delta:  1 month

. xtnbreg Ped FergEff d.UnempL d.OffRateL d.DepScore d.PctNonWhtL  ///
> i.MonthYear if NoCov < 1 & Ped > 0 & weirdPed < 1, ///
> fe irr exposure(population) vce(bootstrap ,seed(909) reps(5000) nodots)
note: 683.MonthYear omitted because of collinearity
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered

Conditional FE negative binomial regression     Number of obs     =      1,120
Group variable: PanelID                         Number of groups  =         19

                                                Obs per group:
                                                              min =         15
                                                              avg =       58.9
                                                              max =         71

                                                Wald chi2(74)     =   54003.78
Log likelihood  = -6590.7145                    Prob > chi2       =     0.0000

                                (Replications based on 19 clusters in PanelID)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
         Ped |        IRR   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     FergEff |   .5325497   .1160229    -2.89   0.004      .347468    .8162167
             |
      UnempL |
         D1. |   .1852778   .1997257    -1.56   0.118     .0223998    1.532504
             |
    OffRateL |
         D1. |   .8001053   .3859279    -0.46   0.644      .310866    2.059307
             |
    DepScore |
         D1. |   2.245577   1.211902     1.50   0.134     .7797372    6.467073
             |
  PctNonWhtL |
         D1. |   19645.83     230020     0.84   0.398     2.12e-06    1.82e+14
             |
   MonthYear |
        614  |    1.28728   .1020482     3.19   0.001     1.102033    1.503666
        615  |   1.098762   .0619597     1.67   0.095     .9837934    1.227166
        616  |   1.323266    .135972     2.73   0.006     1.081887    1.618498
        617  |   1.370403   .1933158     2.23   0.025     1.039379    1.806854
        618  |   1.289691   .2074995     1.58   0.114     .9408819    1.767813
        619  |   1.251686   .2057827     1.37   0.172     .9068887    1.727574
        620  |   1.199413   .1551126     1.41   0.160     .9308681     1.54543
        621  |   1.141257    .152632     0.99   0.323     .8780987     1.48328
        622  |   1.001441   .1266353     0.01   0.991      .781607    1.283106
        623  |    .947486   .1425466    -0.36   0.720     .7055242    1.272429
        624  |   1.153128   .2532209     0.65   0.516     .7498222     1.77336
        625  |   .8617436   .2596744    -0.49   0.621     .4773978    1.555521
        626  |   1.168821   .2215919     0.82   0.411     .8060691    1.694821
        627  |   1.123414   .1819419     0.72   0.472     .8178693    1.543106
        628  |   1.135869   .2606591     0.56   0.579     .7244268    1.780992
        629  |   1.197132   .1966995     1.10   0.273     .8675247    1.651969
        630  |    1.22305   .2460792     1.00   0.317     .8244825    1.814291
        631  |   1.083245   .2259258     0.38   0.701     .7197751    1.630259
        632  |   1.080216   .1787695     0.47   0.641     .7809834      1.4941
        633  |   .9807154   .2540335    -0.08   0.940      .590279    1.629404
        634  |   .8160502   .2448257    -0.68   0.498     .4532578    1.469226
        635  |   .8439004   .2341744    -0.61   0.541     .4898812    1.453756
        636  |   1.097564   .3017219     0.34   0.735     .6403733    1.881163
        637  |    .743274   .1887539    -1.17   0.243     .4518423    1.222675
        638  |   .9960564   .2706316    -0.01   0.988     .5848033    1.696516
        639  |   1.034509   .2253197     0.16   0.876     .6750554    1.585363
        640  |    1.22713   .2663599     0.94   0.346     .8019167     1.87781
        641  |   1.428054   .3808115     1.34   0.181     .8467584    2.408408
        642  |   1.157937   .2643353     0.64   0.521     .7402382    1.811333
        643  |   .9725745   .2539346    -0.11   0.915     .5830129    1.622436
        644  |   .9450706   .2287671    -0.23   0.815      .588057     1.51883
        645  |   1.018408   .2521197     0.07   0.941     .6268967    1.654426
        646  |   .8006981   .2435506    -0.73   0.465     .4411197    1.453387
        647  |   .6673541   .2354858    -1.15   0.252     .3341929    1.332648
        648  |    .926058   .3420357    -0.21   0.835     .4490042    1.909967
        649  |   .7120147   .2296549    -1.05   0.292     .3783907    1.339792
        650  |   .7822654   .2329728    -0.82   0.410      .436366    1.402353
        651  |   .7467399   .2343624    -0.93   0.352     .4036657    1.381392
        652  |   1.014989   .2529332     0.06   0.952     .6227933    1.654166
        653  |   1.078904   .2258038     0.36   0.717      .715871    1.626038
        654  |   1.433003   .4044749     1.27   0.202     .8241182     2.49175
        655  |   2.309135   .3508612     5.51   0.000     1.714405    3.110176
        656  |   2.154601   .3921125     4.22   0.000     1.508196     3.07805
        657  |   1.610838    .243534     3.15   0.002     1.197742    2.166409
        658  |    1.26995    .188874     1.61   0.108     .9488361    1.699738
        659  |   1.183038    .203369     0.98   0.328     .8446437    1.657004
        660  |   1.983308    .273671     4.96   0.000     1.513335    2.599231
        661  |   1.178491    .208793     0.93   0.354     .8327588     1.66776
        662  |   1.327892   .2346522     1.60   0.109     .9391756    1.877495
        663  |   1.472767   .1915924     2.98   0.003     1.141303    1.900496
        664  |    2.28945   .5723744     3.31   0.001     1.402575    3.737111
        665  |   2.184251   .5555964     3.07   0.002     1.326744    3.595988
        666  |   2.203277   .5837072     2.98   0.003      1.31088    3.703184
        667  |   1.889266   .3647527     3.30   0.001     1.294063    2.758234
        668  |   1.398099   .2467514     1.90   0.058     .9892562    1.975909
        669  |   1.543529   .1892416     3.54   0.000     1.213821    1.962794
        670  |   1.320067   .1661135     2.21   0.027     1.031533    1.689308
        671  |   1.109381   .1452843     0.79   0.428     .8582373    1.434015
        672  |   2.000627   .4761007     2.91   0.004     1.254876    3.189565
        673  |   1.156433   .1568338     1.07   0.284     .8865065    1.508549
        674  |   1.370959   .1430374     3.02   0.002     1.117417    1.682029
        675  |   1.198853   .1621011     1.34   0.180     .9197548    1.562644
        676  |   1.304504   .1816527     1.91   0.056     .9929219    1.713861
        677  |   1.812362   .3002936     3.59   0.000     1.309809    2.507738
        678  |   1.835972    .494944     2.25   0.024     1.082425    3.114112
        679  |   1.300425   .0952461     3.59   0.000     1.126526    1.501168
        680  |   1.589448   .2817014     2.61   0.009     1.123016    2.249607
        681  |   1.099009   .0945332     1.10   0.272     .9285039    1.300825
        682  |   .9079431   .1011127    -0.87   0.386     .7299026    1.129412
        683  |          1  (omitted)
             |
       _cons |   9.65e-06   6.21e-06   -17.94   0.000     2.73e-06    .0000341
ln(popula~n) |          1  (exposure)
------------------------------------------------------------------------------
Note: _cons estimates baseline incidence rate (conditional on zero random effects).
Note: One or more parameters could not be estimated in 7 bootstrap replicates;
      standard-error estimates include only complete replications.

. 
. xtset PanelID MonthYear, monthly
       panel variable:  PanelID (unbalanced)
        time variable:  MonthYear, 2011m1 to 2016m12, but with gaps
                delta:  1 month

. xtnbreg TStops FergEff d.UnempL d.OffRateL d.DepScore d.PctNonWhtL /// 
> i.MonthYear if NoCov < 1 & Ped > 0 & weirdPed < 1, ///
> fe irr exposure(population) vce(bootstrap ,seed(909) reps(5000) nodots)
note: 683.MonthYear omitted because of collinearity
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered
cannot compute an improvement -- discontinuous region encountered

Conditional FE negative binomial regression     Number of obs     =      1,120
Group variable: PanelID                         Number of groups  =         19

                                                Obs per group:
                                                              min =         15
                                                              avg =       58.9
                                                              max =         71

                                                Wald chi2(74)     =  197665.19
Log likelihood  = -9251.5071                    Prob > chi2       =     0.0000

                                (Replications based on 19 clusters in PanelID)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
      TStops |        IRR   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     FergEff |   .6192307   .1064706    -2.79   0.005     .4420758    .8673775
             |
      UnempL |
         D1. |   .8374501   .1610524    -0.92   0.356     .5744628    1.220832
             |
    OffRateL |
         D1. |   .6603885   .4228467    -0.65   0.517     .1882674    2.316455
             |
    DepScore |
         D1. |   .9290086    .173211    -0.39   0.693     .6446376    1.338825
             |
  PctNonWhtL |
         D1. |   14.20638    35.9521     1.05   0.294     .0996202    2025.908
             |
   MonthYear |
        614  |   1.146578   .0736061     2.13   0.033      1.01102    1.300312
        615  |   1.006617    .052619     0.13   0.900     .9085933    1.115217
        616  |   1.049894   .0668536     0.76   0.444     .9267099    1.189452
        617  |   1.054525   .0746223     0.75   0.453     .9179574     1.21141
        618  |   1.034053   .0915147     0.38   0.705     .8693815    1.229914
        619  |   1.055636   .0931865     0.61   0.540     .8879207     1.25503
        620  |   .9736106   .0848474    -0.31   0.759     .8207399    1.154955
        621  |   .9153176    .075451    -1.07   0.283     .7787642    1.075815
        622  |   .8882342   .0610208    -1.73   0.084     .7763379    1.016259
        623  |   .8571444   .0625488    -2.11   0.035     .7429146    .9889382
        624  |   .9934036   .1157764    -0.06   0.955     .7905371    1.248329
        625  |   .9549356   .0857258    -0.51   0.607     .8008674    1.138643
        626  |   .9743966   .1113441    -0.23   0.820     .7788774    1.218996
        627  |   .8627593   .0859946    -1.48   0.139     .7096547    1.048895
        628  |   .9477921   .1022488    -0.50   0.619     .7671576    1.170959
        629  |    .883546   .0707767    -1.55   0.122     .7551678    1.033748
        630  |   .8998572   .0986569    -0.96   0.336     .7258571    1.115568
        631  |   .9064308   .1079472    -0.82   0.409      .717736    1.144734
        632  |   .8289902   .0951084    -1.63   0.102     .6620529    1.038021
        633  |   .8599368   .0917442    -1.41   0.157     .6976767    1.059934
        634  |    .814508   .1044704    -1.60   0.110     .6334592    1.047302
        635  |   .7690912     .09871    -2.05   0.041     .5980386    .9890686
        636  |   .9144323   .1129822    -0.72   0.469     .7177642    1.164988
        637  |   .7717637   .0767436    -2.61   0.009     .6350991    .9378367
        638  |   .9603809   .1150642    -0.34   0.736     .7593819    1.214582
        639  |   .8215481   .1079488    -1.50   0.135     .6350206    1.062865
        640  |   .8940645   .1084763    -0.92   0.356     .7048442    1.134082
        641  |   .7996118   .0856263    -2.09   0.037     .6482288    .9863476
        642  |    .799416   .0979943    -1.83   0.068     .6286813    1.016518
        643  |   .8637987   .1066539    -1.19   0.236     .6781317      1.1003
        644  |    .806277   .1079336    -1.61   0.108     .6202072     1.04817
        645  |   .8503716   .1120387    -1.23   0.219     .6568418    1.100923
        646  |   .8065808    .107166    -1.62   0.106     .6216606    1.046508
        647  |   .7392931   .1048281    -2.13   0.033     .5599129    .9761415
        648  |     .84622   .1314907    -1.07   0.283     .6240487    1.147488
        649  |   .7927684   .1111076    -1.66   0.098     .6023504    1.043382
        650  |   .8199199   .1010031    -1.61   0.107     .6440431    1.043826
        651  |   .8024521   .0992945    -1.78   0.075     .6296401    1.022694
        652  |   .8520217   .0925027    -1.48   0.140      .688711    1.054058
        653  |   .7713287   .0788471    -2.54   0.011     .6312881    .9424349
        654  |   .8497398   .0979542    -1.41   0.158     .6778963    1.065145
        655  |   1.339888   .2553733     1.54   0.125     .9222217    1.946711
        656  |   1.270416   .2292642     1.33   0.185     .8919385    1.809494
        657  |   1.239542   .2283402     1.17   0.244     .8638901    1.778541
        658  |   1.095867   .1822236     0.55   0.582     .7910757    1.518091
        659  |   .9734785   .1568437    -0.17   0.868     .7098778    1.334963
        660  |   1.141975    .187839     0.81   0.420     .8272667    1.576403
        661  |   1.083731     .18727     0.47   0.642     .7723831    1.520583
        662  |    1.14873   .1808862     0.88   0.379     .8436892     1.56406
        663  |   1.112143   .1790153     0.66   0.509     .8112371    1.524663
        664  |   1.176683   .1813644     1.06   0.291     .8698858    1.591684
        665  |   1.132981   .1716655     0.82   0.410     .8418827    1.524734
        666  |    1.09567   .1644294     0.61   0.543     .8164662    1.470352
        667  |   1.159367   .1926464     0.89   0.374     .8371064    1.605687
        668  |   1.135509   .1889989     0.76   0.445     .8194324    1.573505
        669  |   1.183655   .1886091     1.06   0.290     .8661455    1.617557
        670  |   1.070044   .1645419     0.44   0.660     .7916104    1.446412
        671  |   .9582003   .1580647    -0.26   0.796     .6934931    1.323947
        672  |   1.194954    .153511     1.39   0.166     .9289683    1.537099
        673  |   1.177753   .0962051     2.00   0.045     1.003514    1.382244
        674  |   1.237498   .0977037     2.70   0.007     1.060083    1.444605
        675  |   1.093451   .0745498     1.31   0.190     .9566779    1.249778
        676  |   1.165388   .0836099     2.13   0.033     1.012515    1.341341
        677  |     1.1584   .0846831     2.01   0.044     1.003766    1.336855
        678  |   1.088442   .0802676     1.15   0.250     .9419614    1.257701
        679  |   1.202126     .10117     2.19   0.029     1.019327    1.417707
        680  |   1.158314   .0876084     1.94   0.052     .9987259    1.343404
        681  |   1.085355   .0653658     1.36   0.174     .9645129    1.221337
        682  |   .9707464   .0401625    -0.72   0.473     .8951364    1.052743
        683  |          1  (omitted)
             |
       _cons |   .0000398   .0000145   -27.89   0.000     .0000195    .0000812
ln(popula~n) |          1  (exposure)
------------------------------------------------------------------------------
Note: _cons estimates baseline incidence rate (conditional on zero random effects).
Note: One or more parameters could not be estimated in 14 bootstrap replicates;
      standard-error estimates include only complete replications.

. log close
      name:  <unnamed>
       log:  /Users/006489466/Dropbox/Depolicing/SubmissionFiles/FergEff/PolicingOX/RnR Round 2/New Analysis Pt
>  2/FinalComm.log
  log type:  text
 closed on:   4 May 2022, 01:43:51
---------------------------------------------------------------------------------------------------------------
